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    Sensor-Embedded Tissue Phantom for Magnetic Resonance Elastography Mechanical Failure Testing

    Source: Journal of Medical Devices:;2024:;volume( 018 ):;issue: 004::page 41003-1
    Author:
    Hong, Charles P.
    ,
    Vinodkumar, Tarun
    ,
    Nieves-Vazquez, Heriberto Andres
    ,
    Ueda, Jun
    DOI: 10.1115/1.4066226
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Magnetic Resonance Elastography (MRE) is an imaging technique capable of quantifying the stiffness of in vivo tissue by applying and imaging shear waves produced by an MRE actuator. Poor image acquisition may result from the MRE procedure if there is insufficient contact between the MRE actuator and the patient. An experimental test setup outside of the clinic will aid in reducing the number of failed acquisitions by enabling the development of advanced actuators and actuator systems. This work presents the development and testing of a sensor-embedded tissue phantom setup paired with a support vector machine (SVM) classifier to automate the MRE actuator testing process. MRE actuation of soft tissue is simulated by utilizing a voice coil positioning stage that interfaces with a phantom. To capture the resulting vibrations, accelerometers are embedded inside the phantom. Subsequent characterization experiments verify the functionality of the developed phantoms to capture wave propagation. A secondary investigation was performed by utilizing the developed setup to collect acceleration measurements at varying contact distances. We provide an overview of feature analysis and selection to develop SVM models for contact detection. Multiple SVM models are reported, and the best-performing model displayed almost perfect validation (94.53%) and test (90.91%) accuracy. The pairing of sensor-embedded phantom with an SVM for detection demonstrates potential improvements to the MRE actuator developmental process by automatically assessing contact-related issues prior to clinical testing.
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      Sensor-Embedded Tissue Phantom for Magnetic Resonance Elastography Mechanical Failure Testing

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305797
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    contributor authorHong, Charles P.
    contributor authorVinodkumar, Tarun
    contributor authorNieves-Vazquez, Heriberto Andres
    contributor authorUeda, Jun
    date accessioned2025-04-21T10:15:03Z
    date available2025-04-21T10:15:03Z
    date copyright9/19/2024 12:00:00 AM
    date issued2024
    identifier issn1932-6181
    identifier othermed_018_04_041003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305797
    description abstractMagnetic Resonance Elastography (MRE) is an imaging technique capable of quantifying the stiffness of in vivo tissue by applying and imaging shear waves produced by an MRE actuator. Poor image acquisition may result from the MRE procedure if there is insufficient contact between the MRE actuator and the patient. An experimental test setup outside of the clinic will aid in reducing the number of failed acquisitions by enabling the development of advanced actuators and actuator systems. This work presents the development and testing of a sensor-embedded tissue phantom setup paired with a support vector machine (SVM) classifier to automate the MRE actuator testing process. MRE actuation of soft tissue is simulated by utilizing a voice coil positioning stage that interfaces with a phantom. To capture the resulting vibrations, accelerometers are embedded inside the phantom. Subsequent characterization experiments verify the functionality of the developed phantoms to capture wave propagation. A secondary investigation was performed by utilizing the developed setup to collect acceleration measurements at varying contact distances. We provide an overview of feature analysis and selection to develop SVM models for contact detection. Multiple SVM models are reported, and the best-performing model displayed almost perfect validation (94.53%) and test (90.91%) accuracy. The pairing of sensor-embedded phantom with an SVM for detection demonstrates potential improvements to the MRE actuator developmental process by automatically assessing contact-related issues prior to clinical testing.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSensor-Embedded Tissue Phantom for Magnetic Resonance Elastography Mechanical Failure Testing
    typeJournal Paper
    journal volume18
    journal issue4
    journal titleJournal of Medical Devices
    identifier doi10.1115/1.4066226
    journal fristpage41003-1
    journal lastpage41003-8
    page8
    treeJournal of Medical Devices:;2024:;volume( 018 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian